Evidence map›Paper›PMID 39650274›Full record

ArticleSovremennye tekhnologii v meditsine2024

A Method for Assessing Working Memory in Rats Using Controlled Virtual Environment.

A V Lebedeva, S A Gerasimova, M I Yashanova, A V Naumov, A A Ivanov, D A Karchkov, O V Martynova, A E Malkov, T A Levanova, A N Pisarchik

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Article in Sovremennye tekhnologii v meditsine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

A V LebedevaPhD, Associate Professor, Department of Neurotechnologies, Institute of Biology and Biomedicine; National Research Lobachevsky State University of Nizhny Novgorod, 23 Prospekt Gagarina, Nizhny Novgorod, 603022, Russia.
S A GerasimovaPhD, Researcher, Research Laboratory for Perspective Methods of Multidimensional Analysis, Institute of Information Technologies, Mathematics and Mechanics; National Research Lobachevsky State University of Nizhny Novgorod, 23 Prospekt Gagarina, Nizhny Novgorod, 603022, Russia.
M I YashanovaAssistant, Department of Biology; Privolzhsky Research Medical University, 10/1 Minin and Pozharsky Square, Nizhny Novgorod, 603005, Russia.
A V NaumovResearch Assistant, Research Institute of Neurosciences; National Research Lobachevsky State University of Nizhny Novgorod, 23 Prospekt Gagarina, Nizhny Novgorod, 603022, Russia.
A A IvanovResearch Assistant, Research Institute of Neurosciences; National Research Lobachevsky State University of Nizhny Novgorod, 23 Prospekt Gagarina, Nizhny Novgorod, 603022, Russia.
D A KarchkovSenior Teacher, Department of Mathematical Support and Supercomputer Technologies, Institute of Information Technologies, Mathematics and Mechanics; National Research Lobachevsky State University of Nizhny Novgorod, 23 Prospekt Gagarina, Nizhny Novgorod, 603022, Russia.
O V MartynovaPhD, Senior Teacher, Department of Electrodynamics, Faculty of Radiophysics; National Research Lobachevsky State University of Nizhny Novgorod, 23 Prospekt Gagarina, Nizhny Novgorod, 603022, Russia.
A E MalkovPhD, Senior Researcher, Research Institute of Neurosciences; National Research Lobachevsky State University of Nizhny Novgorod, 23 Prospekt Gagarina, Nizhny Novgorod, 603022, Russia.
T A LevanovaPhD, Associate Professor, Department of System Dynamics and Control Theory, Institute of Information Technologies, Mathematics and Mechanics; National Research Lobachevsky State University of Nizhny Novgorod, 23 Prospekt Gagarina, Nizhny Novgorod, 603022, Russia.
A N PisarchikPhD, Chair in Computational Systems Biology, Center for Biomedical Technology; Universidad Politécnica de Madrid, Madrid, 28223, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Materials and Methods: Conclusion: In our study, we present a setup that includes a projector, a dome display, a sphere (treadmill), a virtual T-maze, motion capture sensors, systems for securing animals to the sphere, and positive reinforcement delivery systems. We have developed an optimal protocol for immersing laboratory animals into a virtual environment and evaluating their cognitive functions, particularly working memory. The application of virtual reality in biological experiments enables more precise control over study conditions and allows for the creation of highly accurate and realistic behavioral protocols to assess cognitive functions in animals. This approach enhances our understanding of the mechanisms underlying working memory and their relationship with behavioral processes in rats and other animals.

Indexed as

Maze LearningMemory, Short-TermRats, WistarVirtual RealityAnimalsMaleRatsT-mazevirtual environmentworking memory in rats

Identifiers

PMID39650274
PMCPMC11618531

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.